Statistics
The science of inference.
Good statistical thinking turns data into decisions. Whether you need to design a study, analyse results, build a model, or communicate findings to stakeholders — we can help.
M2Lab CSDS offers statistical consulting to research institutions, universities, healthcare organisations, and non-profits. Our work spans both Bayesian and frequentist approaches.
Michel also volunteers with the Royal Statistical Society’s Statisticians for Society pro bono programme, contributing statistical expertise to support civic and social research.
Discuss your project →Sample statistical visualisations — illustrating regression modelling and uncertainty quantification, the type of analyses M2Lab CSDS delivers.
Linear Regression
Observed data with OLS regression line — sample research data
Uncertainty Quantification
Model estimate with 95% confidence interval — sample forecast output
Featured research
New vigour involving statisticians to overcome ensemble fatigue
Peer-reviewed perspectiveNature Climate Change 7, 697–703 (2017) · Benestad et al., including M. D. S. Mesquita
A perspective on how statistical thinking can improve the interpretation of climate model ensembles — extracting meaningful information from large multi-model experiments and supporting more efficient experimental design and uncertainty assessment.
Methods
Tools
Certification
Mesquita is certified by the Royal Statistical Society (United Kingdom) as a Chartered Statistician, Graduate Statistician, and Data Analyst — one of the most rigorous professional qualifications in statistics in the UK.
